About the Role
As a Senior AI Analytics Engineer in our Data Team, you will bridge the gap between Data Engineering, Tech, and Product. You will play a pivotal role in operationalizing AI/LLM models, building scalable data transformation pipelines, standardizing data models, and establishing best practices.
In addition to core analytics engineering, you will occasionally act as a technical Business Analyst on select data initiatives—partnering with business teams to translate ambiguous operational needs into clear technical specs and data requirements.
Key Responsibilities
Data & AI Architecture: Design, build, and maintain production-grade data models to bridge raw data streams with downstream applications and BI tools. Using LLMs and AI tools to generate data documentation, write SQL/Python transformations, convert warehouse dialects, and diagnose pipeline error logs.
Analytics Engineering: Standardize data modeling practices and build robust, reliable, scalable semantic layers that feed clean, trustworthy data to downstream analytics and reporting.
Business & Requirements Analysis: Occasionally lead scoping discussions with product, tech and finance stakeholders to translate business requirements into functional specs, user stories, and data mapping documents.
Business Logic Translation: Reconciling data definitions across departments, a critical human-led task that AI cannot fully automate
Data Quality & Governance: Establish automated testing, monitoring, and data quality frameworks to guarantee financial-grade reliability.
Performance Optimization: Optimize query performance, warehouse costs, and pipeline orchestration.
Requirements & Qualifications
• Experience: 5+ years of experience in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI environment.
• Technical Mastery:
Advanced SQL capabilities.
Hands-on expertise with modern data transformation and orchestration frameworks (dbt, Airflow, Prefect, Dagster).
Deep experience with cloud data warehouses (Snowflake, Databricks, BigQuery).
• AI Technical Stack:
Understanding of feature engineering, AI agentic workflow lifecycles, and evaluation metrics.
Experience with deploying AI agentic workflows in production environments.
• Business Analysis Skills: Demonstrated ability to occasionally gather business requirements, define key metrics, and translate stakeholder needs into structured data assets.
• Software Engineering Principles: Strong experience with version control (Git), CI/CD practices for data pipelines, and production code testing.
Skills Required
- 5+ years of experience in Data Engineering, Analytics Engineering, or Data Science
- At least 2 years of experience in an AI environment
- Advanced SQL capabilities
- Hands-on expertise with dbt, Airflow, Prefect, or Dagster
- Deep experience with Snowflake, Databricks, or BigQuery
- Understanding of feature engineering, AI agentic workflow lifecycles, and evaluation metrics
- Experience deploying AI agentic workflows in production environments
- Ability to gather business requirements, define key metrics, and translate stakeholder needs into structured data assets
- Strong experience with Git, CI/CD practices for data pipelines, and production code testing
Crypto.com Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Crypto.com and has not been reviewed or approved by Crypto.com.
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Fair & Transparent Compensation — Pay is considered market‑competitive in select engineering, product, trading, compliance, and senior roles, with external postings and salary snapshots indicating strong bands in some geographies. Standout offers appear at higher levels, reinforcing that top‑of‑band packages are attainable in certain teams.
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Healthcare Strength — Benefit descriptions include medical, dental, and vision coverage across U.S. roles. Core health insurance is presented as part of a standard modern fintech package alongside other essentials.
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Leave & Time Off Breadth — Benefit materials reference PTO, sick time, and attractive annual leave with additional days for occasions. Time‑off provisions are positioned as a consistent element of the offering, with regional variation.
Crypto.com Insights
What We Do
Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. Crypto.com serves over 10 million customers today, with the world’s fastest growing crypto app, along with the Crypto.com Visa Card — the world’s most widely available crypto card, the Crypto.com Exchange and Crypto.com DeFi Wallet.
